Dr. Christiansen
CEO
Cleanbrix
Cleanbrix provides a cloud‑based Energy Data Hub that consolidates utility data from electricity, gas, water, and other sources into a single, analysis‑ready platform for commercial real‑estate portfolios. Using AI‑driven anomaly detection and a decarbonization engine, it delivers real‑time monitoring, retrofit scenario simulation, and automated ESG reporting to help facility, portfolio, and sustainability managers optimize energy use, reduce CO₂ emissions, and plan investment roadmaps.
- Artificial Intelligence
- Data & Analytics
- Clean Technology
- Energy
- Enterprise Software
- Software Only
Updated 5 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Building owners and managers struggle with scattered energy data across meters, portals, and spreadsheets, making it difficult to monitor consumption, detect inefficiencies, and plan effective decarbonization measures. Without reliable, real‑time insights, organizations cannot set science‑based targets, verify impact, or optimize retrofit investments across large portfolios.
Solution
Cleanbrix offers a cloud‑based Energy Data Hub that consolidates utility data from electricity, gas, water, district heating, and other sources into a single, analysis‑ready platform. The system applies AI‑driven anomaly detection and cross‑validation to ensure data quality and provides continuous, hierarchical monitoring from portfolio level down to individual meters. BuildingEnerlytics, the AI‑powered decarbonization engine, simulates retrofit scenarios, ranks measures by CO₂ reduction and ROI, and generates portfolio‑wide investment roadmaps without requiring detailed questionnaires. Users receive automated ESG reporting, emissions calculations, and real‑time alerts that can be integrated into existing maintenance workflows, turning sustainability compliance into a strategic advantage.
Target Audience
Primary customers are portfolio managers, facility managers, and sustainability officers in commercial real estate, multi‑family housing, public institutions, and industrial complexes seeking data‑driven energy optimization and decarbonization planning.
Features
- Unified integration of multiple utility data sources (meter portals, ERP, BMS, IoT sensors) into a 5‑level building model (portfolio → site → building → unit → meter)
- Automated data quality checks, anomaly detection, and audit‑ready documentation with full data lineage tracking
- Real‑time dashboards and heat‑map visualizations for consumption patterns, efficiency scores, and CO₂ emissions at any hierarchy level
- AI‑driven retrofit simulation covering nine measure types, optimized for CO₂ reduction, ROI, or baseline scenarios, with 3‑year investment planning and subsidy modeling
- CRREM pathway analysis and EPC classification to assess stranding risk and thermal flexibility of each building
- RESTful APIs and role‑based access for seamless integration with ESG platforms, maintenance systems, and custom analytics tools
- Cloud‑hosted reporting engine that auto‑calculates emissions, generates compliance reports, and supports ESG disclosure requirements